ML Anthology

Sussillo, David

14 publications

NeurIPS 2021 Reverse Engineering Learned Optimizers Reveals Known and Novel Mechanisms Niru Maheswaranathan, David Sussillo, Luke Metz, Ruoxi Sun, Jascha Sohl-Dickstein
NeurIPS 2021 Reverse Engineering Recurrent Neural Networks with Jacobian Switching Linear Dynamical Systems Jimmy Smith, Scott Linderman, David Sussillo
ICLR 2021 The Geometry of Integration in Text Classification RNNs Kyle Aitken, Vinay Venkatesh Ramasesh, Ankush Garg, Yuan Cao, David Sussillo, Niru Maheswaranathan
ICML 2020 How Recurrent Networks Implement Contextual Processing in Sentiment Analysis Niru Maheswaranathan, David Sussillo
NeurIPS 2020 Organizing Recurrent Network Dynamics by Task-Computation to Enable Continual Learning Lea Duncker, Laura Driscoll, Krishna V. Shenoy, Maneesh Sahani, David Sussillo
ICMLW 2019 Line Attractor Dynamics in Recurrent Networks for Sentiment Classification Niru Maheswaranathan, Alex H. Williams, Matthew D. Golub, Surya Ganguli, David Sussillo
NeurIPS 2019 Reverse Engineering Recurrent Networks for Sentiment Classification Reveals Line Attractor Dynamics Niru Maheswaranathan, Alex Williams, Matthew Golub, Surya Ganguli, David Sussillo
NeurIPS 2019 Universality and Individuality in Neural Dynamics Across Large Populations of Recurrent Networks Niru Maheswaranathan, Alex Williams, Matthew Golub, Surya Ganguli, David Sussillo
ECCV 2018 A Dataset and Architecture for Visual Reasoning with a Working Memory Guangyu Robert Yang, Igor Ganichev, Xiao-Jing Wang, Jonathon Shlens, David Sussillo
CVPRW 2018 Recurrent Segmentation for Variable Computational Budgets Lane McIntosh, Niru Maheswaranathan, David Sussillo, Jonathon Shlens
NeurIPS 2018 Task-Driven Convolutional Recurrent Models of the Visual System Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J DiCarlo, Daniel L Yamins
ICLR 2017 Capacity and Trainability in Recurrent Neural Networks Jasmine Collins, Jascha Sohl-Dickstein, David Sussillo
ICML 2017 Input Switched Affine Networks: An RNN Architecture Designed for Interpretability Jakob N. Foerster, Justin Gilmer, Jascha Sohl-Dickstein, Jan Chorowski, David Sussillo
NeurIPS 2016 An Online Sequence-to-Sequence Model Using Partial Conditioning Navdeep Jaitly, Quoc V Le, Oriol Vinyals, Ilya Sutskever, David Sussillo, Samy Bengio